Banadaki suggests a fault detection method through additive manufacturing with the speed and temperature of the extruder [1]}. However, since the data available from the printer itself is limited, several studies conducted experiments using additional sensors such as vibrarion sensor. Bing proposed a real-time detection solution with Support Vector Machine (SVM) classifier in [2]}. With additional vibration sensor, they effectively detect the failures of 3D printers.
